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构建枯草芽孢杆菌非必需染色体区域的文库需要对同源的大规模代谢模型进行重大改进。

Building the repertoire of dispensable chromosome regions in Bacillus subtilis entails major refinement of cognate large-scale metabolic model.

机构信息

INRA, UMR 1319 Micalis, AgroParisTech, UMR Micalis, Jouy-en-Josas F-78350, France.

出版信息

Nucleic Acids Res. 2013 Jan 7;41(1):687-99. doi: 10.1093/nar/gks963. Epub 2012 Oct 29.

DOI:10.1093/nar/gks963
PMID:23109554
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3592452/
Abstract

The nonessential regions in bacterial chromosomes are ill-defined due to incomplete functional information. Here, we establish a comprehensive repertoire of the genome regions that are dispensable for growth of Bacillus subtilis in a variety of media conditions. In complex medium, we attempted deletion of 157 individual regions ranging in size from 2 to 159 kb. A total of 146 deletions were successful in complex medium, whereas the remaining regions were subdivided to identify new essential genes (4) and coessential gene sets (7). Overall, our repertoire covers ~76% of the genome. We screened for viability of mutant strains in rich defined medium and glucose minimal media. Experimental observations were compared with predictions by the iBsu1103 model, revealing discrepancies that led to numerous model changes, including the large-scale application of model reconciliation techniques. We ultimately produced the iBsu1103V2 model and generated predictions of metabolites that could restore the growth of unviable strains. These predictions were experimentally tested and demonstrated to be correct for 27 strains, validating the refinements made to the model. The iBsu1103V2 model has improved considerably at predicting loss of viability, and many insights gained from the model revisions have been integrated into the Model SEED to improve reconstruction of other microbial models.

摘要

细菌染色体中的非必需区域由于功能信息不完整而难以定义。在这里,我们建立了一个全面的基因组区域目录,这些区域对于枯草芽孢杆菌在各种培养基条件下的生长是可有可无的。在复杂培养基中,我们尝试删除了 157 个大小在 2 到 159 kb 之间的个体区域。在复杂培养基中,总共成功删除了 146 个缺失,而其余区域则进一步细分,以确定新的必需基因(4)和必需基因集(7)。总的来说,我们的目录涵盖了基因组的约 76%。我们在丰富的限定培养基和葡萄糖最小培养基中筛选突变菌株的活力。实验观察结果与 iBsu1103 模型的预测进行了比较,发现了导致大量模型变化的差异,包括大规模应用模型调和技术。我们最终生成了 iBsu1103V2 模型,并生成了可以恢复不可行菌株生长的代谢物预测。这些预测经过实验验证,对于 27 株菌株是正确的,验证了对模型所做的改进。iBsu1103V2 模型在预测丧失活力方面有了很大的改进,并且从模型修订中获得的许多见解已经被整合到 Model SEED 中,以改进其他微生物模型的重建。

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